Challenging ChatGPT 3.5 in Senology—An Assessment of Concordance with Breast Cancer Tumor Board Decision MakingSebastian Griewing, Jelena Boekhoff, Niklas Gremke et al.|Journal of Personalized Medicine|2023Cited by 70
Evolution of publicly available large language models for complex decision-making in breast cancer careSebastian Griewing, Sebastian Kühn, Johannes Knitza et al.|Archives of Gynecology and Obstetrics|2024Cited by 28
Proof-of-concept study of a small language model chatbot for breast cancer decision support – a transparent, source-controlled, explainable and data-secure approachSebastian Griewing, Sebastian Kühn, Fabian Lechner et al.|Journal of Cancer Research and Clinical Oncology|2024Cited by 16
Awareness and intention-to-use of digital health applications, artificial intelligence and blockchain technology in breast cancer careSebastian Griewing, Sebastian Kühn, Johannes Knitza et al.|Frontiers in Medicine|2024Cited by 15
Vignette-based comparative analysis of ChatGPT and specialist treatment decisions for rheumatic patients: results of the Rheum2Guide studyHannah Labinsky, Johannes Knitza, Lea-Kristin Nagler et al.|Rheumatology International|2024Cited by 13